| 基于混沌优化自适应遗传算法的数据关联求解 |
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| 引用本文： | 朱志宇,王建华.基于混沌优化自适应遗传算法的数据关联求解[J].航天控制,2007,25(4):7-12. |
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| 作者姓名： | 朱志宇 王建华 |
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| 作者单位： | 江苏科技大学电子信息学院,镇江,212003 |
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| 基金项目： | 船舶行业国防预研基金项目(资助号01J3.17) |
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| 摘 要： | 通过判断目标量测值和运动状态之间的最优对应关系,将数据关联问题描述为一类约束组合优化问题,采用混沌优化自适应遗传算法来求解数据关联问题,仿真结果表明,这种算法具有很高的关联成功率;此外,分别采用自适应遗传算法、混沌优化算法以及混沌优化自适应遗传算法求解数据关联问题,结果表明,混沌优化自适应遗传算法求解数据关联问题的最优率明显高于其他2种方法,且其收敛速度也明显快于单独使用自适应遗传算法或混沌优化算法。
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| 关 键 词： | 数据关联 混沌优化 自适应遗传算法 多目标跟踪 |
| 文章编号： | 1006-3242(2007)04-0007-06 |
| 修稿时间： | 2006年5月8日 |
Research on Data Association Problem Based on Chaotic Optimization Adaptive Genetic Algorithm |
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| Zhu Zhiyu,Wang Jianhua.Research on Data Association Problem Based on Chaotic Optimization Adaptive Genetic Algorithm[J].Aerospace Control,2007,25(4):7-12. |
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| Authors: | Zhu Zhiyu Wang Jianhua |
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| Abstract: | Through estimating the optimal corresponding relationship between measurements and dynamic states of targets,data association is regarded as a kind of constrained combination optimization problem,which is solved by chaotic optimization adaptive genetic algorithm in this paper.Adaptive genetic algorithm,chaotic optimization algorithm and chaotic optimization adaptive genetic algorithm are respectively adopted to solve data association,simulation results indicate that chaotic optimization adaptive genetic algorithm has stronger association ability than those of the other two algorithms,besides faster convergence speed. |
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| Keywords: | Data association Chaotic optimization Adaptive genetic algorithm Multiple targets tracking |
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